The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo propõe um método iterativo de redução de potência de pico com sobreamostragem intermediária adaptativa que utiliza a largura de banda mínima necessária de acordo com o número de iteração para sistemas OFDMA sem fio. A largura de banda necessária para cada número de iteração é avaliada por simulação computacional, e os números de sobreamostragem no processamento iterativo são controlados usando os resultados da simulação. Os resultados mostram que a largura de banda necessária é 1.6, 2.0 e 2.7 vezes a largura de banda do sinal usado no número de iteração 1, 2 e 3, respectivamente. O método de sobreamostragem adaptativo proposto pode reduzir seu número de multiplicação em 13%.
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Kazuhiko FUJIMOTO, Shigeru TOMISATO, Masaharu HATA, Hiromasa FUJII, "An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 2, pp. 576-579, February 2011, doi: 10.1587/transcom.E94.B.576.
Abstract: This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.576/_p
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@ARTICLE{e94-b_2_576,
author={Kazuhiko FUJIMOTO, Shigeru TOMISATO, Masaharu HATA, Hiromasa FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems},
year={2011},
volume={E94-B},
number={2},
pages={576-579},
abstract={This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.},
keywords={},
doi={10.1587/transcom.E94.B.576},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 576
EP - 579
AU - Kazuhiko FUJIMOTO
AU - Shigeru TOMISATO
AU - Masaharu HATA
AU - Hiromasa FUJII
PY - 2011
DO - 10.1587/transcom.E94.B.576
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2011
AB - This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.
ER -